The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 13, 2018

Filed:

Nov. 09, 2015
Applicant:

Delta Electronics, Inc., Taoyuan County, TW;

Inventors:

Meng-Seng Chen, Taoyuan County, TW;

Tien-Szu Lo, Taoyuan County, TW;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
F24F 11/00 (2018.01); G05B 13/02 (2006.01); F24F 11/30 (2018.01); F24F 11/62 (2018.01); F24F 110/70 (2018.01); F24F 120/10 (2018.01); F24F 120/20 (2018.01);
U.S. Cl.
CPC ...
F24F 11/30 (2018.01); F24F 11/62 (2018.01); G05B 13/0265 (2013.01); F24F 2110/70 (2018.01); F24F 2120/10 (2018.01); F24F 2120/20 (2018.01);
Abstract

A controlling method executes an auto-calculation procedure of a controlling system when a person is detected indoor. The auto-calculation procedure firstly collects current environment parameters via sensors for calculating a current comfort-index based on the sensed environment parameters. Secondly, it calculates a target temperature/humidity adjustment value for the environment to reach a best comfort-index based on the current comfort-index. Then, it controls indoor apparatuses based on the calculated target temperature/humidity adjustment value to adjust the environment to be in the best comfort-index. The controlling system can execute a learning procedure, it records the current environment parameters and a user-feedback to build a learning model. Therefore, it helps the environment to satisfy user demands quickly by using the learning model directly when the indoor environment has the environment parameters same as the learning model.


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